| Title: | Tools for Interactive Data Exploration |
|---|---|
| Description: | Tools for interactive data exploration built using 'shiny'. Includes apps for descriptive statistics, visualizing probability distributions, inferential statistics, linear regression, logistic regression and RFM analysis. |
| Authors: | Aravind Hebbali [aut, cre] |
| Maintainer: | Aravind Hebbali <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.2.0 |
| Built: | 2024-10-29 15:19:26 UTC |
| Source: | https://github.com/rsquaredacademy/xplorerr |
Launches the descriptive statistics app.
app_descriptive()app_descriptive()
## Not run: app_descriptive() ## End(Not run)## Not run: app_descriptive() ## End(Not run)
Launches the inferential statistics app.
app_inference()app_inference()
## Not run: app_inference() ## End(Not run)## Not run: app_inference() ## End(Not run)
Launches the linear regression app.
app_linear_regression()app_linear_regression()
## Not run: app_linear_regression() ## End(Not run)## Not run: app_linear_regression() ## End(Not run)
Launches the logistic regression app.
app_logistic_regression()app_logistic_regression()
## Not run: app_logistic_regression() ## End(Not run)## Not run: app_logistic_regression() ## End(Not run)
Launches the RFM analysis app.
app_rfm_analysis()app_rfm_analysis()
## Not run: app_rfm_analysis() ## End(Not run)## Not run: app_rfm_analysis() ## End(Not run)
Launches app for visualizing probability distributions.
app_vistributions()app_vistributions()
## Not run: app_vistributions() ## End(Not run)## Not run: app_vistributions() ## End(Not run)
Launches the visualizer app.
app_visualizer()app_visualizer()
## Not run: app_visualizer() ## End(Not run)## Not run: app_visualizer() ## End(Not run)
A dataset containing information about results of three exams.
data(exam)data(exam)
A data frame with 15 rows and 3 variables:
result of exam1
result of exam2
result of exam3
https://www.spss-tutorials.com/spss-cochran-q-test/
A dataset containing demographic information and standardized test scores of high school students.
data(hsb)data(hsb)
A data frame with 200 rows and 10 variables:
id of the student
gender of the student
ethnic background of the student
socio-economic status of the student
school type
program type
scores from test of reading
scores from test of writing
scores from test of math
scores from test of science
scores from test of social studies
https://nces.ed.gov/surveys/hsb/
A dataset containing information about two treatments
data(treatment)data(treatment)
A data frame with 50 rows and 2 variables:
result of treatment type 1
result of treatment type 2
Repeat data
xpl_gvar(ln, ly)xpl_gvar(ln, ly)
ln |
A list |
ly |
A list |